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Cryptomancer alternatives & similar sites

Cryptomancer — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
debash.net ↗	64 match 3 shared topics	Debashis Blogs	en	technology-and-computing	robotsllmsaihumans	emailphone	none
omerba.dev ↗	64 match 3 shared topics	Concrete Pixels	en	programming-languages	robotsllmsaihumans	emailphone	none
visiononedge.com ↗	64 match 3 shared topics	Vision on Edge - Personal portfolio of David Alami	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
4hp-4int.com ↗	62 match 3 shared topics	4 hp / 4 int	en	technology-and-computing	robotsllmsaihumans	emailphone	none
darshitp.com ↗	62 match 3 shared topics	Darshit's blog – stories, insights, and ideas	en	technology-and-computing	robotsllmsaihumans	emailphone	none
farworldlabs.com ↗	62 match 3 shared topics	Home • Far World	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
heygrady.com ↗	61 match 3 shared topics	Heygrady	en	programming-languages	robotsllmsaihumans	emailphone	none
concurrency.ch ↗	61 match 3 shared topics	Luc Bläser - Computer Scientist & Technology Innovator	Switzerland en	artificial-intelligence	robotsllmsaihumans	emailphone	none
danieljohnmorris.com ↗	61 match 3 shared topics	Daniel John Morris - CTO & Technologist	en	artificial-intelligence	robots llmsaihumans	emailphone	none
hettech.org ↗	61 match 3 shared topics	Clean Code Principles • HETTECH — The House of Technology	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
databriefing.com ↗	60 match 3 shared topics	Learn to work with data \| DataBriefing	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
datasciencedeconstructed.com ↗	60 match 3 shared topics	Data Science Deconstructed	en	programming-languages	robotsllmsaihumans	emailphone	none
howtoinswift.tech ↗	60 match 3 shared topics	How To In Swift	en	programming-languages	robotsllmsaihumans	emailphone	none
douglasstarnes.dev ↗	60 match 3 shared topics	douglasstarnes.dev – lack of vision, not lack of time, is your true enemy	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
enting.org ↗	60 match 3 shared topics	Enting's Blog	en	technology-and-computing Ghost	robotsllmsaihumans	emailphone	none
csblog.org ↗	60 match 3 shared topics	Home \| CS Blog	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cy4.dev ↗	60 match 3 shared topics	Cy4's Website	en	technology-and-computing	robotsllmsaihumans	emailphone	none
1qc.dev ↗	60 match 3 shared topics	Home \| The Quiet Code	en	technology-and-computing	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.